133 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at King's College London
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research. About the role: We are seeking a data scientist with extensive expertise in statistics, machine learning and AI, and with experience in mental health research and the analysis of electronic health
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AI, machine learning, and deep learning. This is a fixed-term position, with the potential for extension. This is a full-time post 35 hours per week, and you will be offered a fixed term contract until
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broad range of NLP tasks, including information extraction, relation extraction, clustering, classification, sentiment analysis, topic modelling using machine learning and NLP methods including rule-based
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are seeking a postdoctoral research associate to contribute to an innovative EU Pathfinder project at the intersection of polymer chemistry, molecular dynamics simulations, and machine learning. The primary
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, CPRD) or hospital electronic health records Experience with data linkage and working with routine healthcare data Experience with machine learning or AI applications in healthcare settings Advisory
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. We are looking for a computer scientist with expertise in both front-end and back-end development. Specifically, the objectives of the post holder will be to develop a smartphone app to instruct
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media, literature and artistic creativity; generative AI; other forms of machine learning for artists and digital creators. The candidate needs to combine theoretical inquiry into one or more of the above
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of genomic predictors into multivariable and machine-learning prediction models for treatment outcome. Working closely with Professors Breen, Eley and collaborators across psychiatric genetics, clinical
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with data linkage and working with routine healthcare data Experience with machine learning or AI applications in healthcare settings Advisory or consultancy experience Understanding of implementation
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About us: At King’s College London, our Engineering Team plays a critical role in ensuring our facilities are safe, efficient and well maintained to ensure our vibrant community is able to learn